DPPM: Dual-Path Parametric Memory for Personalized Language Models

arXiv:2610.11776 · cs.CL · Submitted 2026-10-08 · Read on arXiv

cs.CL

Submitted: 2026-10-08

Updated: 2026-10-08

Code: https://github.com/isyuhaochen/DPPM

Terminology

• Accuracy — 17× in this paper · explained in 1 episode
• Personalization — 10× in this paper · explained in 2 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Calibration — 7× in this paper · explained in 7 episodes
• Hypernetwork — 6× in this paper · explained in 3 episodes
• Distillation — 4× in this paper · explained in 2 episodes
• GRPO — 4× in this paper · explained in 6 episodes
• RAG — 4× in this paper · explained in 3 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 3 episodes
• LoRA Adapters — 2× in this paper · explained in 3 episodes
• On-Policy Distillation — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Agent Memory — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Embeddings — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• KV cache — 1× in this paper · explained in 3 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Two-Stage Optimization — 1× in this paper · explained in 2 episodes

Sources

• On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes
• Titans: Learning to Memorize at Test Time
• Doc-to-LoRA: Learning to Instantly Internalize Contexts
• M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
• VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents
• Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory
• LightMem: Lightweight and Efficient Memory-Augmented Generation
• Learning What to Share and What to Personalize: Hierarchical Strategy Co-Evolution for Agent Memory
• PersonaMem-v2: Towards Personalized Intelligence via Learning Implicit User Personas and Agentic Memory
• delta-mem: Efficient Online Memory for Large Language Models
• PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments
• SHINE: A Scalable In-Context Hypernetwork for Mapping Context to LoRA in a Single Pass
• Evaluating Very Long-Term Conversational Memory of LLM Agents
• Locating and Editing Factual Associations in GPT
• Mass-Editing Memory in a Transformer
• MemGPT: Towards LLMs as Operating Systems
• Linear Transformers Are Secretly Fast Weight Programmers
• DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
• Towards Evolving Context Parameterization for Large Language Models
• Learning to (Learn at Test Time): RNNs with Expressive Hidden States

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